Qihang ZHANG


Qihang Zhang is a third-year Ph.D. student at Multimedia Lab (MMLab), Department of Information Engineering in The Chinese University of Hong Kong, advised by Prof. Bolei Zhou and Prof. Dahua Lin. He spent wonderful four years in Zhejiang University where he received B.Eng. degree in 2021.

His research interests lie in generative models, particularly around 3D and video domains.

I will be on job market since 2024 Fall (graduate in 2025 Summer). Feel free to reach out if you have suitable openings.


May 13, 2024 I start my intern at Apple! See you in New York City. 🗽
Feb 27, 2024 Two papers (BerfScene, SceneWiz3D) focused on 3D scene generation are accepted to CVPR24.
Sep 30, 2023 One paper on GAN’s architecture is accepted to NeurIPS23.
Jun 30, 2023 One paper on 3D-aware pretraining is accepted to ICCV23.
Jun 18, 2023 I start my intern at Snap Inc.! See you in Los Angeles.🌴
Jan 21, 2023 Our paper on video generation (StyleSV) is accepted to ICLR 23. 🎞
Jul 5, 2022 Our paper on policy pretraining and visuomotor policy learning (ACO) is accepted to ECCV 22. 🛣

Selected Publications

  1. Preprint
    3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting
    Qihang Zhang, Yinghao Xu, Chaoyang Wang, Hsin-Ying Lee, Gordon Wetzstein, Bolei Zhou, and Ceyuan Yang
    Preprint (Preprint) , 2024
  2. Preprint
    Urban Scene Diffusion through Semantic Occupancy Map
    Junge Zhang, Qihang Zhang, Li Zhang, Ramana Rao Kompella, Gaowen Liu, and Bolei Zhou
    Preprint (Preprint) , 2024
  3. CVPR
    SceneWiz3D: Towards Text-guided 3D Scene Composition
    Qihang Zhang, Chaoyang Wang, Aliaksandr Siarohin, Peiye Zhuang, Yinghao Xu, Ceyuan Yang, Dahua Lin, Bolei Zhou, Sergey Tulyakov, and Hsin-Ying Lee
    Computer Vision and Pattern Recognition (CVPR) , 2024
  4. CVPR
    BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation
    Qihang Zhang, Yinghao Xu, Yujun Shen, Bo Dai, Bolei Zhou, and Ceyuan Yang
    Computer Vision and Pattern Recognition (CVPR) , 2024
  5. NeurIPS
    Learning Modulated Transformation in GANs
    Ceyuan Yang, Qihang Zhang, Yinghao Xu, Jiapeng Zhu, Yujun Shen, and Bo Dai
    Neural Information Processing Systems (NeurIPS) , 2023
  6. ICLR
    Towards Smooth Video Composition
    Qihang Zhang, Ceyuan Yang, Yujun Shen, Yinghao Xu, and Bolei Zhou
    International Conference on Learning Representations (ICLR) , 2023
  7. ECCV
    Learn to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
    Qihang Zhang, Zhenghao Peng, and Bolei Zhou
    European Conference on Computer Vision (ECCV) , 2022
  8. TPAMI
    MetaDrive: Composing Diverse Driving Scenarios for Generalizable Learning
    Quanyi Li*, Zhenghao Peng*, Lan Feng, Qihang Zhang, Zhenghai Xue, and Bolei Zhou
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2022
    F^3A-GAN: Facial Flow for Face Animation With Generative Adversarial Networks
    Xintian Wu, Qihang Zhang, Yiming Wu, Huanyu Wang, Songyuan Li, Lingyun Sun, and Xi Li
    IEEE Transactions on Image Processing (IEEE TIP) , 2021


Research Intern, Machine Learning Research, Apple.
May. 2023 - Oct. 2023
Host by Jiatao Gu.
Research Intern, Creative Vision Group, Snap Research.
June. 2023 - Oct. 2023
Shanghai AI Laboratory
Research Intern, Shanghai Artificial Intelligence Laboratory
Sept. 2022 - May. 2023
Host by Ceyuan Yang.
Research Intern, Sensetime Inc.
Aug. 2020 - May. 2021
Host by Chunxiao Liu.